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21st Century Operations Using 21st Century Technologies
Table of Contents

Behavioral/Agent-Based Supply Chain Modeling Research Synthesis and Guide

References

  1. American Transportation Research Institute. (2017, January 17). 2017 Top 100 Truck Bottleneck List. Retrieved from American Transportation Research Institute: http://atri-online.org/2017/01/17/2017-top-100-truck-bottleneck-list/
  2. Benchmarks, A. P. (2006). Procurement Benchmarks Show Wide Variation between Top and Bottom Performers, Supply Chain Digest. Retrieved October 2013, from http://www.scdigest.com/assets/newsviews/06-10-04-2.cfm?cid=774&ctype=content
  3. Bureau of Transportation Statistics. (2008). Rail Freight Average Speeds, Revenue Ton-Miles, and Terminal Dwell Times. Retrieved May 2013, from http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/files/publications/transportation_statistics_annual_report/2008/html
  4. Cambridge Systematics. (2011). A Working Demonstration of a Mesoscale Model: Final Report and User's Guide. Chicago.
  5. Cambridge Systematics. (2016). SHRP2 C20 Behavioral Freight Modeling Application and Testing of a Supply Chain Freight Model For Wisconsin. Report Number: 0045-43-90.
  6. Colonial Diversified. (2009). Appendix B: Centralized Examination Station Rate Schedule Port of Port Huron, Michigan. Retrieved October 2013, from http://www.coloniald.com/downloads/RateSchedule.pdf
  7. CSX. (2013). CSX Transportation Weekly Performance Report. Retrieved October 2013, from http://www.railroadpm.org/home/RPM/Performance%20Reports/CSX.aspx
  8. de Jong, G. B.-A. (2007). A micro-simulation model of shipment size and transport chain choice. Transportation Research Part B 41, 950–965.
  9. DKS, RSG, and Synergy Associates. (2017). Freight Demand Modeling and Data Improvement Project Final Report, for Metro. Portland, OR.
  10. Dominic, C. (2009). Cost of a Purchase Order: The Great Mystery of Procurement. Retrieved October 2013, from http://blog.purchasingcourses.com/2009/09/cost-of-purchase-order-great-mystery-of.html
  11. Federal Highway Administration. (2017). Freight Analysis Framework 4. Retrieved from Network Database and Flow Assignment: 2007 and 2040: https://ops.fhwa.dot.gov/freight/freight_analysis/faf/
  12. Fisher, M. L. (1997). Final Report: What is the right supply chain for your product. Retrieved May 2013, from http://www.computingscience.nl/docs/vakken/scm/Fisher.pdf
  13. Leachman, R. T. (2005). Final Report: Port and Modal Elasticity Study. Southern California Association of Governments. Retrieved May 2013, from http://www.ieor.berkeley.edu/People/Faculty/leachman-pubs/PortModal.pdf.
  14. Maricopa Association of Governments. (2017). Mega-Regional Multi-Modal Agent-Based Behavioral Freight Model: Final Report. Prepared with assistance from FHWA SHRP2 C20 IAP Grant.
  15. Notteboom, T. (2011). Current Issues in Shipping, Ports and Logistics, . UPA University Press Antwerp, Brussels.
  16. RSG. (2015). Florida Freight Supply-Chain Intermodal Model (FreightSim): Documentation. Retrieved from Florida Freight Supply-Chain Intermodal Model Documentation: https://rsginc.atlassian.net/wiki/display/FREIGTSIM/FreightSim
  17. RSG. (2017). Freight Model Program Design: Program Options Technical Memorandum. San Francisco.
  18. RSG. (2017). User's Guide and Model Documentation (final draft): Agent-Based Supply Chain Modeling Tool. Chicago: Chicago Metropolitan Agency for Planning.
  19. RSG, University of Illinois at Chicago and John Bowman. (2012). Tour-based and Supply Chain Freight Forecasting Framework: Final Report. Washington DC: Prepared for Federal Highway Administration.
  20. RSG, University of Maryland, and Vision Engineering and Planning. (2017). Freight and Commercial Vehicle Model Development Final Report, for Baltimore Metropolitan Council and Maryland State Highway Administration. Baltimore, MD.
  21. Samimi, A. M. (2010). A Behavioral Freight Movement Microsimulation Model: Method and Data. Transportation Letters: The International Journal of Transportation Research, Volume 2, pp 53-62.
  22. Samimi, A. M. (2010). An Online Freight Shipment Survey in U.S: Lessons Learned and a Non-response Bias Analysis. 89th Annual Meeting of the Transportation Research Board. Washington DC, 10–14 January 2010.
  23. Smith, C. C. (2013). Disaggregate Tour-Based Truck Model with Simulation of Shipment Allocation to Trucks. Transportation Research Board 92nd Annual Meeting (No. 13-5158).
  24. United States Bureau of Economic Analysis. (2017). Retrieved from Input-Output Accounts Data: https://www.bea.gov/industry/io_annual.htm
  25. VIUS. (2002). Vehicle Inventory and Use Survey. Retrieved from https://www.census.gov/svsd/www/vius/2002.html
  26. WSP, ECONorthwest, HBA Specto and RSG. (2017). SWIM Version 2.5 Model Development Report. Oregon Department of Transportation.
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